Exercise Stress Echocardiography–Based Phenotyping of Heart Failure With Preserved Ejection Fraction

Yuki Saito, Yuto Omae, Tomonari Harada, Hidemi Sorimachi, Naoki Yuasa, Kazuki Kagami, Fumitaka Murakami, Ayami Naito, Yuta Tani, Toshimitsu Kato, Naoki Wada, Yasuo Okumura, Hideki Ishii, Masaru Obokata

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome requiring improved phenotypic classification. Previous studies have identified subphenotypes of HFpEF, but the lack of exercise assessment is a major limitation. The aim of this study was to identify distinct pathophysiologic clusters of HFpEF based on clinical characteristics, and resting and exercise assessments. Methods: A total of 265 patients with HFpEF underwent ergometry exercise stress echocardiography with simultaneous expired gas analysis. Cluster analysis was performed by the K-prototype method with 21 variables (10 clinical and resting echocardiographic variables and 11 exercise echocardiographic parameters). Pathophysiologic features, exercise tolerance, and prognosis were compared among phenogroups. Results: Three distinct phenogroups were identified. Phenogroup 1 (n = 112 [42%]) was characterized by preserved biventricular systolic reserve and cardiac output augmentation. Phenogroup 2 (n = 58 [22%]) was characterized by a high prevalence of atrial fibrillation, increased pulmonary arterial and right atrial pressures, depressed right ventricular systolic functional reserve, and impaired right ventricular–pulmonary artery coupling during exercise. Phenogroup 3 (n = 95 [36%]) was characterized by the smallest body mass index, ventricular and vascular stiffening, impaired left ventricular diastolic reserve, and worse exercise capacity. Phenogroups 2 and 3 had higher rates of composite outcomes of all-cause mortality or heart failure events than phenogroup 1 (log-rank P = .02). Conclusion: Exercise echocardiography–based cluster analysis identified three distinct phenogroups of HFpEF, with unique exercise pathophysiologic features, exercise capacity, and clinical outcomes.

Original languageEnglish
Pages (from-to)759-768
Number of pages10
JournalJournal of the American Society of Echocardiography
Volume37
Issue number8
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Exercise
  • Heart failure with preserved ejection fraction
  • Machine learning
  • Phenotyping
  • Stress echocardiography

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